Spatial and Temporal Variability of Solar Energy

Author:   Richard Perez ,  Mathieu David ,  Thomas E. Hoff ,  Mohammad Jamaly
Publisher:   now publishers Inc
ISBN:  

9781680831528


Pages:   60
Publication Date:   29 July 2016
Format:   Paperback
Availability:   In Print   Availability explained
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Spatial and Temporal Variability of Solar Energy


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Overview

Unlike conventional electrical power generation (such as fossil or nuclear energy), solar energy is intermittent. The output of a solar power plant is driven by weather and by the cycle of days and seasons. It varies from zero to full power outside the control of plant operators. Spatial and Temporal Variability of Solar Energy summarizes and analyses recent research by the authors and others to understand, characterize, and model solar resource variability. This research shows that understanding solar energy variability requires a definition of the temporal and spatial context for which variability is assessed; and describes a predictable, quantifiable variability-smoothing space-time continuum from a single point to thousands of kilometres and from seconds to days. It also discusses the implications for solar penetration on the power grid and variability mitigation strategies.

Full Product Details

Author:   Richard Perez ,  Mathieu David ,  Thomas E. Hoff ,  Mohammad Jamaly
Publisher:   now publishers Inc
Imprint:   now publishers Inc
Dimensions:   Width: 15.60cm , Height: 0.30cm , Length: 23.40cm
Weight:   0.099kg
ISBN:  

9781680831528


ISBN 10:   1680831526
Pages:   60
Publication Date:   29 July 2016
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1: Introduction 2: Quantifying Intermittency 3: Variability Mitigation - Spatial and Temporal Effects 4: Application Models and Tools 5: Spatio-Temporal Kriging - A Practical Approach to Infer Underlying Situational Space-Time Variability 7: Implications for Power Grid Management 8: Conclusions. Acknowledgements. References

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